Intrinsic enzymatic properties modulate the self-propulsion of micromotors.


Journal

Nature communications
ISSN: 2041-1723
Titre abrégé: Nat Commun
Pays: England
ID NLM: 101528555

Informations de publication

Date de publication:
27 06 2019
Historique:
received: 14 01 2019
accepted: 24 05 2019
entrez: 29 6 2019
pubmed: 30 6 2019
medline: 4 9 2019
Statut: epublish

Résumé

Bio-catalytic micro- and nanomotors self-propel by the enzymatic conversion of substrates into products. Despite the advances in the field, the fundamental aspects underlying enzyme-powered self-propulsion have rarely been studied. In this work, we select four enzymes (urease, acetylcholinesterase, glucose oxidase, and aldolase) to be attached on silica microcapsules and study how their turnover number and conformational dynamics affect the self-propulsion, combining both an experimental and molecular dynamics simulations approach. Urease and acetylcholinesterase, the enzymes with higher catalytic rates, are the only enzymes capable of producing active motion. Molecular dynamics simulations reveal that urease and acetylcholinesterase display the highest degree of flexibility near the active site, which could play a role on the catalytic process. We experimentally assess this hypothesis for urease micromotors through competitive inhibition (acetohydroxamic acid) and increasing enzyme rigidity (β-mercaptoethanol). We conclude that the conformational changes are a precondition of urease catalysis, which is essential to generate self-propulsion.

Identifiants

pubmed: 31249381
doi: 10.1038/s41467-019-10726-8
pii: 10.1038/s41467-019-10726-8
pmc: PMC6597730
doi:

Substances chimiques

Enzymes, Immobilized 0
Fish Proteins 0
Fungal Proteins 0
Plant Proteins 0
Silicon Dioxide 7631-86-9
Glucose Oxidase EC 1.1.3.4
Acetylcholinesterase EC 3.1.1.7
Urease EC 3.5.1.5
Fructose-Bisphosphate Aldolase EC 4.1.2.13

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

2826

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Auteurs

Xavier Arqué (X)

Institute for Bioengineering of Catalonia (IBEC), The Barcelona Institute of Science and Technology (BIST), Baldiri i Reixac 10-12, 08028, Barcelona, Spain.

Adrian Romero-Rivera (A)

CompBioLab Group, Institut de Química Computacional i Catàlisi (IQCC) and Departament de Química, Universitat de Girona, Carrer Maria Aurèlia Capmany 69, 17003, Girona, Spain.

Ferran Feixas (F)

CompBioLab Group, Institut de Química Computacional i Catàlisi (IQCC) and Departament de Química, Universitat de Girona, Carrer Maria Aurèlia Capmany 69, 17003, Girona, Spain.

Tania Patiño (T)

Institute for Bioengineering of Catalonia (IBEC), The Barcelona Institute of Science and Technology (BIST), Baldiri i Reixac 10-12, 08028, Barcelona, Spain. tpatino@ibecbarcelona.eu.

Sílvia Osuna (S)

CompBioLab Group, Institut de Química Computacional i Catàlisi (IQCC) and Departament de Química, Universitat de Girona, Carrer Maria Aurèlia Capmany 69, 17003, Girona, Spain. silvia.osuna@udg.edu.
Institució Catalana de Recerca i Estudis Avançats (ICREA), Pg. Lluís Companys 23, 08010, Barcelona, Spain. silvia.osuna@udg.edu.

Samuel Sánchez (S)

Institute for Bioengineering of Catalonia (IBEC), The Barcelona Institute of Science and Technology (BIST), Baldiri i Reixac 10-12, 08028, Barcelona, Spain. ssanchez@ibecbarcelona.eu.
Institució Catalana de Recerca i Estudis Avançats (ICREA), Pg. Lluís Companys 23, 08010, Barcelona, Spain. ssanchez@ibecbarcelona.eu.

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Classifications MeSH